nums_to_NA: Replace numeric values in numeric columns with NA
Description
Replaces specified numbers in numeric columns with NA.
Usage
nums_to_NA(data, ..., nums_to_replace = NULL)
Value
data with specified values replaced with NA
Arguments
data
A data frame, data frame extension (e.g. a tibble), or a lazy
data frame (e.g. from dbplyr or dtplyr).
...
<tidy-select> One or more unquoted
expressions separated by commas. Variable names can be used as if they
were positions in the data frame, so expressions like x:y can
be used to select a range of variables.
nums_to_replace
numeric vector of values to be replaced with
NA. Case is ignored.
Details
Columns to process can be specified in ... or the function will be
applied to all numeric columns.
data(example_data)
# replace all 1,2, and 3 from tumoursize and patient_id with NA.nums_to_NA(data = example_data, tumoursize, patient_id, nums_to_replace = c(1,2,3))